| /external/toolchain-utils/crosperf/ |
| schedv2_unittest.py | 82 """Test that remotes in labels are aggregated into experiment.remote."""
110 for l in self.exp.labels:
|
| /external/vixl/test/aarch32/ |
| test-assembler-aarch32.cc | 3636 Label* labels; local
4923 Label labels[kLabelsCount]; local
4984 Label labels[kLabelsCount]; local
5044 Label labels[kLabelsCount]; local
5144 Label labels[kTestCount]; local
[all...] |
| /external/libvpx/libvpx/vp8/encoder/ |
| rdopt.c | 879 static int rdcost_mbsegment_y(MACROBLOCK *mb, const int *labels,
887 if (labels[b] == which_label) {
896 int const *labels,
904 if (labels[i] == which_label) {
947 int const *labels; local
975 labels = vp8_mbsplits[segmentation];
1124 rate = labels2mode(x, labels, i, this_mode, &mode_mv[this_mode],
1135 distortion = vp8_encode_inter_mb_segment(x, labels, i) / 4;
1137 labelyrate = rdcost_mbsegment_y(x, labels, i, ta_s, tl_s);
[all...] |
| /external/mesa3d/src/gallium/drivers/etnaviv/ |
| etnaviv_compiler.c | 184 struct etna_compile_label *labels; member in struct:etna_compile
1002 array_insert(c->labels, label);
[all...] |
| /external/tensorflow/tensorflow/contrib/legacy_seq2seq/python/kernel_tests/ |
| seq2seq_test.py | [all...] |
| /dalvik/dx/etc/ |
| jasmin.jar | |
| /external/tensorflow/tensorflow/python/keras/ |
| callbacks_test.py | 478 labels = np.where(data > 0.5, 1, 0)
487 hist = model.fit(data, labels, callbacks=[stopper], verbose=0, epochs=20)
492 hist = model.fit(data, labels, callbacks=[stopper], verbose=0, epochs=20)
499 (data, labels), _ = testing_utils.get_test_data(
511 hist = model.fit(data, labels, callbacks=[stopper], verbose=0, epochs=20)
518 hist = model.fit(data, labels, callbacks=[stopper], verbose=0, epochs=20)
[all...] |
| /external/antlr/tool/src/test/java/org/antlr/test/ |
| TestSemanticPredicates.java | 846 List<Label> labels = local
848 String input = nondetMsg.probe.getInputSequenceDisplay(labels);
|
| /external/autotest/scheduler/ |
| rdb_testing_utils.py | 153 host.labels.add(*label_objects)
207 Also adds the appropriate labels to the host, and adds the host to the
212 deps: The labels on the host that match job deps.
497 host_labels = set([l.name for l in host.labels.all()])
|
| /external/autotest/server/hosts/ |
| cros_label.py | 46 # We only want to apply the board labels once, which is when they get
54 for label in host._afe_host.labels:
72 for label in host._afe_host.labels:
243 """Return the Chameleon peripherals labels.
249 detected and applied proper labels in this class.
281 Labels representing this host's power supply.
317 Labels representing this host's internal device type:
439 """Labels to determine the abi of the CTS bundle (arm or x86 only)."""
523 """Return all the labels generated from the hwid."""
537 self.key_file).get('labels', [])
[all...] |
| /external/libunwind/doc/ |
| unw_get_proc_name.tex | 33 between procedure names and ordinary labels. Furthermore, if symbol
|
| /external/opencensus-java/ |
| CHANGELOG.md | 63 - Set bucket bounds as "le" labels for Prometheus Stats exporter.
|
| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| minimize_loss_test.py | 313 labels = dataset_ops.Dataset.from_tensors([[6.], [21.]])
314 return dataset_ops.Dataset.zip((features, labels)).repeat()
|
| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| wals_test.py | 177 labels = None
178 return features, labels
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| layers.py | [all...] |
| /external/tensorflow/tensorflow/core/profiler/g3doc/ |
| advise.md | 51 seq2seq_attention_model.py:282:sampled_loss_func:labels = tf.resha..., cpu: 164us, accelerator: 0us, total: 164us
|
| /external/tensorflow/tensorflow/python/framework/ |
| function_test.py | 259 def XentLossGrad(logits, labels, dloss):
261 nn_ops.softmax(logits) - labels)
262 dlabels = array_ops.zeros_like(labels)
267 def XentLoss(logits, labels):
268 return math_ops.reduce_sum(labels * math_ops.log(nn_ops.softmax(logits)),
274 labels = array_ops.placeholder(dtype)
275 loss = XentLoss(logits, labels)
284 out, = sess.run(dlogits, {logits: x, labels: y})
[all...] |
| /external/v8/src/interpreter/ |
| interpreter-intrinsics-generator.cc | 90 InterpreterAssembler::Label* labels[] = {INTRINSICS_LIST(LABEL_POINTER)}; local
98 __ Switch(function_id, &abort, cases, labels, arraysize(cases));
|
| /bionic/libc/dns/nameser/ |
| ns_print.c | 508 u_int typ, algorithm, labels, footprint; local
519 labels = *rdata++;
522 p_type((int)typ), algorithm, labels, t);
524 if (labels > (u_int)dn_count_labels(name))
|
| /development/vndk/tools/definition-tool/assets/insight/ |
| insight.js | 336 const labels = [
344 for (let label of labels) {
|
| /external/antlr/tool/src/main/resources/org/antlr/codegen/templates/Ruby/ |
| Ruby.stg | 867 dfaEdgeSwitch(labels, targetState) ::= <<
868 when <labels:{it | <it>}; separator=", "> then <targetState>
[all...] |
| /external/llvm/test/MC/Mips/ |
| expansion-jal-sym-pic.s | 41 # local labels ($tmp symbols)
|
| /external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
| bidirectional_sequence_lstm_test.py | 114 tf.nn.softmax_cross_entropy_with_logits(logits=prediction, labels=y))
|
| unidirectional_sequence_lstm_test.py | 105 tf.nn.softmax_cross_entropy_with_logits(logits=prediction, labels=y))
|
| unidirectional_sequence_rnn_test.py | 101 tf.nn.softmax_cross_entropy_with_logits(logits=prediction, labels=y))
|
